Objective To study the clinical value of fat-suppression(FS)sequence and dynamic contrast-enhanced MRI in judging the nature of breast neoplasm.Methods Sixty patients with breast neoplasm(including malignant lesions in 40 cases and benign lesions in 20 cases)proved by histopathology were reviewed.All patients were undergone FS sequence and 30 cases underwent dynamic contrast-enhanced MRI examinations,time-signal curves were acquired.Results 22 malignant lesions in 20 cases and 46 benign lesions in 40 cases were found by FS.Dynamic contrast-enhanced MRI showed 18 malignant and 20 benign lesions.The malignant lesions had visible contrast-enhancement of administration of Gd-DTPA.Type Ⅲ curve was showed in 16 lesions(malignant in 14 and benign in 2),type Ⅱ in 5(malignant in 3 and benign in 2)and type Ⅰ in 17(malignant in 1 and benign in 16).There was significant difference between benign and malignant tumors on the type of time-signal curve(P

Objective To investigate the role of a small RNA interference against VEGF in radiation sensitivity in melanoma .Methods A375 human melanoma cell lines were transplanted into nude mice ,which with malignant melanoma were randomly divided into control group , VEGF negative plasmid group and VEGF positive plasmid group, followed by 4Gy irradiation twice a week for 2 weeks.The volume of tumor was calculated twice a week, the area of tumor necrosis was assayed by HE,the expression of VEGF in tumor was determined by Western-blot and Immunohistochemical. ResuIts The expression of VEGF in VEGF positive plasmid group decreased significantly (P<0.05), VEGF positive group had more tissue necrosis, tumor growth was significantly inhibited (P<0.05).ConcIusion siRNA-VEGF in tumor injection liposome encapsulated in malignant melanoma has a role in the radiation sensitization, which provides an experimental basis for the clinical development of targeted therapy combined with radiotherapy for the treatment of VEGF gene.

Objective To investigate the metabolite changes in the preschool children with autism spectrum disorder (ASD) using MR spectroscopy (MRS) and explore the associations between image findings and clinical variables, which may provide a noninvasive brain biochemical method for the early diagnosis and prevention of autism. Methods Twenty one cases of preschool ASD children (3-6 years old) and age-and sex-matched 20 preschool healthy controls underwent single voxel short (SVS) short TE (TE=30 ms) MRS. The absolute metabolite concentrations in the anterior cingulate cortex (ACC) , anterior middle anterior cingulate cortex (aMCC) and posterior cingulate (PCC) were quantitatively analyzed using LCModel software. Two independent sample t tests were used for analysis. The relationships between metabolite concentrations and diagnostic and statistical manual of mental disorders (DSM-IV) , childhood autism rating scale (CARS) and autism behavior checklist (ABC) were analyzed by Pearson correlation analysis. Results Compared to control subjects, ASD patients had significantly lower N-acetylaspartate (NAA) values (4.35 ± 0.80, 6.34±0.82, 8.04±0.97 mmol/L respectively) in ACC, aMCC and PCC (t=2.640, P=0.012;t=2.182, P=0.035;t=3.343, P=0.002) , had significantly lower choline (Cho) 1.32±0.22 mmol/L (t=2.905, P=0.006) and glutamine and glutamate complex (Glx) 10.02 ± 0.88 mmol/L (t=2.090, P=0.043) in PCC. Cho, total creatine (tCr) , myo-Inositol (MI) and Glx levels did not differ between groups in other aforementioned regions (P>0.05). Negative correlations between the NAA ualues in the PCC and CARS (r=-0.504, P=0.020) were detected, and no significant correlation among DSM-IV, CARS, ABC and other metabolite values (P>0.05). Condnsions The biochemical changes in the preschool children with ASD in cingulate reflect the neuronal loss, structural or functional damage and cell membrane enzyme metabolic dysfunctions, may reveal the pathological basis of ASD. These results may provide noninvasive and quantitative methods for the diagnosis and prognosis evaluation of ASD child.

Objective:To investigate the application of 3.0T high resolution magnetic resonance imaging(HR-MRI)in acute ischemic stroke(AIS)and the influence factors of prognosis.Methods:A total of 92 AIS patients who underwent treatment in Hainan General Hospital from January 2019 to June 2022 were selected as the research objects.All patients were treated by thrombolytic therapy,and they were divided into favorable prognosis group(mRS scores≤2 points,n=66)and poor prognosis group(mRS score>2 points,n=26)according to modified Rankin Scale after they received 90d treatment.All of patients underwent Magnetom Trio type of 3.0 T HR-MRI examination within 1 week after they hospitalized,and the changes of luminal stenosis rate,the luminal area at the narrowest point,the plaque load,T2WIsignal intensity index,T1WI signal intensity index,plaque enhancement rate and other parameters were compared.The receiver operating characteristics(ROC)curve was adopted to analyze the predictive value of 3.0T HR-MRI parameters on the AIS prognosis.Binary Logistic regression model was used to analyze the risk factors that affected the prognosis of AIS patients.Results:The difference of infarction diameter between two groups was statistically significant(x2=6.574,P<0.05).The lumen area at the narrowest point in the poor prognosis group was significantly lower than that in the favorable prognosis group,while the T2WI signal intensity index,T1WI signal intensity index and plaque enhancement rate in the poor prognosis group were significantly higher than those in the favorable prognosis group(t=-3.378,4.443,4.413,3.890,P<0.05),respectively.ROC curve analysis showed that the area under curve(AUC)values of T2WI signal intensity index,T1WI signal intensity index,lumen area at the narrowest point and plaque enhancement rate in predicting the AIS prognosis were respectively 0.743,0.739,0.706 and 0.748.The Logistic regression analysis showed that infarction diameter>3.0cm,T1WI signal intensity index,T2WI signal intensity index,lumen area at the narrowest point and plaque enhancement rate were respectively independent risk factors that could affect AIS prognosis(OR=3.889,257.151,105.073,4.091,1.121,P<0.05).Conclusion:3.0T HR-MRI has higher efficiency in the assessment for the prognosis of patients with AIS,which can provide guidance for the judgement of prognosis and the formulation of treatment scheme through observes the changes of a series of parameters include T2WI signal strength index,T1WI signal strength index,the lumen area at the narrowest point,plaque enhancement rate.The above parameters are risk factors that affect the prognosis of patients,which often represent the progress of patients'conditions.

Objective To investigate the characteristics of multimodal MRI of breast cancer with different molecular subtypes and the correlation between each molecular type and MRI findings. Methods Multimodality MRI date of 87 patients with breast cancer confirmed by pathology were retrospectively analyzed. According to the expression of estrogen receptors(ER),progesterone receptors(PR)and human epidermal growth factor receptor-2 (HER-2),the tumors were classified into triple-negative breast cancer,HER-2 overexpression,Luminal A and Lu-minal B subtypes. The MRI features of breast cancers of different molecular subtypes were compared. Results Among the 87 cases of breast cancer,luminal type A accounted for 29.9%(26/87),luminal type B accounted for 36.8%(32/87),HER-2 type accounted for 19.5%(17/87),and triple-negative type accounted for 13.8%(12/87). The average ADC value is 0.97 × 10-3 mm2/s;those whose irregular or edge burr like mass were more often Lu-minal type MRI,triple-negative breast cancer showed the edge smooth,clear boundary,annular enhancement, more easily showed enhanced mode of TIC type Ⅲ. The mean ADC values of type Luminal and HER-2 over-expres-sion were lower than the mean ADC values of the triple-negative type. Conclusion The different molecular sub-types of breast cancer MRI morphologic and hemodynamic characteristics and the value of ADC has certain charac-teristics. The MRI features of breast cancer can be predicted to analyze the molecular typing,providing a reference for clinical treatment.